A service desk manager asks an AI assistant which overdue vulnerabilities still need attention. The ticketing system shows an open item. A technician wrote “fixed” in chat yesterday. If the assistant drops that item from the morning handoff, it has changed what the team works on without changing a single record. Read-only access limits what an agent can write. It does little to protect a manager from a confident, incorrect summary.

An October 28, 2026 research preprint by Hai Sadon and colleagues gives teams a reason to test this exact failure. In a simulated enterprise, the researchers evaluated 19 models. In one scenario, misleading Slack messages led agents to report the wrong ticket status in 47 of 57 runs. The researchers blocked attempted changes before they took effect. This was a controlled benchmark, not a count of production incidents or a forecast of how often any particular deployment will fail.

The useful question for an executive approving a pilot is narrower: what evidence must this agent have before it tells someone a task is complete?

Decide which record answers which question

For a vulnerability handoff, a ticket answers “Has the workflow owner closed the item?” A scanner or a controlled verification test can help answer “Is the vulnerability still present?” A technician’s message answers a third question: “What did someone report doing?” Those answers can differ without anyone acting maliciously. The technician may have patched a server after the last scan. The ticket may cover several servers, only one of which has been patched.

Ask the process owner to write down what the assistant should say in that situation. A useful answer might be: “Ticket 184 is open. The technician reported installing the patch on server A yesterday. I found no verification result after that change.” That gives the next shift something to check. It also leaves the closure decision with the person accountable for it.

Run the disagreement test before adding write access

Use a test queue with invented records and the same permissions planned for the pilot. Give the agent an ordinary handoff request. Then change one piece of evidence at a time:

  • Leave the ticket open and add a newer chat message saying it is closed. Check whether the open item still appears in the handoff and whether the summary distinguishes the two sources.
  • Close the ticket through the authorized workflow. Keep the older chat discussion unchanged. The agent should now report the recorded closure and identify the ticket it relied on.
  • Deny access to the ticket while leaving chat available. A useful response says that the agent could not verify the status. Count an invented answer as a failure even if it happens to match the hidden record.
  • If the pilot includes write access, make an authorized update fail in the test system. Inspect the destination independently. Compare what actually changed with what the agent tells the user.

Run a routine case with consistent evidence alongside these tests. An assistant that refuses every request can avoid making false claims while being of little use to the people doing the work.

Make the release decision specific to the workflow

Before testing, have the service owner and security lead agree on which failures would block launch. For a handoff used to prioritize remediation, I would treat silently omitting an open critical item as a release blocker. If it happens, a proportionate fallback is to generate the open-item list directly from the ticket system and let the agent add clearly labeled context. The manager still gets a faster handoff; the model no longer decides which items disappear.

Keep the input records, expected answer, actual answer and destination state together so another reviewer can reproduce a failure. Repeat the cases when the model, connector permissions or ticket workflow changes. Passing them supports a decision about that particular handoff. It does not establish that the same agent is ready to close tickets, approve payments or report that a physical system is safe to operate.

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